APPLICATION OF SPATIAL REGRESSION ANALYSIS ON HUMAN DEVELOPMENT INDEX SUB-NATIONAL DATA Authors: Del Rosario Katrina S , ESTOLANO MARCIAL P† AND OLIVO JOHN CLOSTER F
ABSTRACT
Human Development Index (HDI) is a measure of development that enables
international comparison. Through the years, the index was developed until the present
measure captures the interest on health, education and the standard of living that provides a
more holistic view of the true concept of development. With the continuous strive in
improving human lives, it is important to have a closer look on the human development in the
sub-national level of a country though complexity increases due to the presence of
geographical information. Considering the significance and the difficulty of determining
more specific factors of HDI, this study used spatial regression analysis to identify indicators
of HDI in the sub-national unit of the Philippines.
As confirmed by Moran’s I, spatial dependence exists among the sub-national units in
the estimation of HDI and suggested the use of spatial regression. The spatial error regression
model was used to determine significant indicators while taking into account the effects of
neighboring provinces through their error terms. Results revealed that the key to human
development is to be focused in the immunization of children, survival rate in public
elementary school children and poverty incidence. It is notable that the explanatory variables
capture the dimensions of HDI such as education, health and standard of living.
Keywords: Human development index, spatial regression, sub-national, dimension Publication date: 01/08/20 https://ijbpas.com/pdf/2020/August/MS_IJBPAS_2018_45381.pdfDownload PDFhttps://doi.org/10.31032/IJBPAS/2020/9.8.4538